Diurnal variation of precipitable water vapor over Central and South America

Autores
Meza, Amalia Margarita; Mendoza, Luciano Pedro Oscar; Natali, María Paula; Bianchi, Clara Eugenia; Fernández, Laura Isabel
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Annual and seasonal diurnal precipitable water vapor (PWV) variations over Central and South America are analyzed for the period 2007e2013. PWV values were obtained from Global Navigation Satellite Systems (GNSS) observations of sixty-nine GNSS tracking stations. Histograms by climate categories show that PWV values for temperate, polar and cold dry climate have a positive skewed distribution and for tropical climates (except for monsoon subtype) show a negative skewed distribution. The diurnal PWV and surface temperatures (T) anomaly datasets are analyzed by using principal components analysis (PCA). The first two modes represent more than 90% of the PWV variability. The first PCA mode of PWV variability shows a maximum amplitude value in the late afternoon few hours later than the respective values for surface temperature (T), therefore the temperature and the surface conditions (to yield evaporation) could be the main agents producing this variability; PWV variability in inland stations are mainly represented by this mode. The second mode of PWV variability shows a maximum amplitude at midnight, a possible explanation of this behavior is the effect of the sea/valley breeze. The coastal and valley stations are affected by this mode in most cases. Finally, the “undefined” stations, surrounded by several water bodies, are mainly affected by the second mode with negative eigenvectors. In the seasonal analysis, both the undefined and valley stations constitute the main cases that show a sea or valley breeze only during some seasons, while the rest of the year they present a behavior according to their temperature and the surface conditions. As a result, the PCA proves to be a useful numerical tool to represent the main sub-daily PWV variabilities.
Laboratorio de Meteorología espacial, Atmósfera terrestre, Geodesia, Geodinámica, diseño de Instrumental y Astrometría
Materia
Ciencias Astronómicas
Precipitable water vapor
Global navigation satellite systems
Köppen and Geiger climate type classification
Surface temperature
Principal component analysis
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/119499

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spelling Diurnal variation of precipitable water vapor over Central and South AmericaMeza, Amalia MargaritaMendoza, Luciano Pedro OscarNatali, María PaulaBianchi, Clara EugeniaFernández, Laura IsabelCiencias AstronómicasPrecipitable water vaporGlobal navigation satellite systemsKöppen and Geiger climate type classificationSurface temperaturePrincipal component analysisAnnual and seasonal diurnal precipitable water vapor (PWV) variations over Central and South America are analyzed for the period 2007e2013. PWV values were obtained from Global Navigation Satellite Systems (GNSS) observations of sixty-nine GNSS tracking stations. Histograms by climate categories show that PWV values for temperate, polar and cold dry climate have a positive skewed distribution and for tropical climates (except for monsoon subtype) show a negative skewed distribution. The diurnal PWV and surface temperatures (T) anomaly datasets are analyzed by using principal components analysis (PCA). The first two modes represent more than 90% of the PWV variability. The first PCA mode of PWV variability shows a maximum amplitude value in the late afternoon few hours later than the respective values for surface temperature (T), therefore the temperature and the surface conditions (to yield evaporation) could be the main agents producing this variability; PWV variability in inland stations are mainly represented by this mode. The second mode of PWV variability shows a maximum amplitude at midnight, a possible explanation of this behavior is the effect of the sea/valley breeze. The coastal and valley stations are affected by this mode in most cases. Finally, the “undefined” stations, surrounded by several water bodies, are mainly affected by the second mode with negative eigenvectors. In the seasonal analysis, both the undefined and valley stations constitute the main cases that show a sea or valley breeze only during some seasons, while the rest of the year they present a behavior according to their temperature and the surface conditions. As a result, the PCA proves to be a useful numerical tool to represent the main sub-daily PWV variabilities.Laboratorio de Meteorología espacial, Atmósfera terrestre, Geodesia, Geodinámica, diseño de Instrumental y Astrometría2020-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf426-441http://sedici.unlp.edu.ar/handle/10915/119499enginfo:eu-repo/semantics/altIdentifier/issn/1674-9847info:eu-repo/semantics/altIdentifier/doi/10.1016/j.geog.2020.04.005info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2026-01-14T13:52:33Zoai:sedici.unlp.edu.ar:10915/119499Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-01-14 13:52:33.6SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Diurnal variation of precipitable water vapor over Central and South America
title Diurnal variation of precipitable water vapor over Central and South America
spellingShingle Diurnal variation of precipitable water vapor over Central and South America
Meza, Amalia Margarita
Ciencias Astronómicas
Precipitable water vapor
Global navigation satellite systems
Köppen and Geiger climate type classification
Surface temperature
Principal component analysis
title_short Diurnal variation of precipitable water vapor over Central and South America
title_full Diurnal variation of precipitable water vapor over Central and South America
title_fullStr Diurnal variation of precipitable water vapor over Central and South America
title_full_unstemmed Diurnal variation of precipitable water vapor over Central and South America
title_sort Diurnal variation of precipitable water vapor over Central and South America
dc.creator.none.fl_str_mv Meza, Amalia Margarita
Mendoza, Luciano Pedro Oscar
Natali, María Paula
Bianchi, Clara Eugenia
Fernández, Laura Isabel
author Meza, Amalia Margarita
author_facet Meza, Amalia Margarita
Mendoza, Luciano Pedro Oscar
Natali, María Paula
Bianchi, Clara Eugenia
Fernández, Laura Isabel
author_role author
author2 Mendoza, Luciano Pedro Oscar
Natali, María Paula
Bianchi, Clara Eugenia
Fernández, Laura Isabel
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Astronómicas
Precipitable water vapor
Global navigation satellite systems
Köppen and Geiger climate type classification
Surface temperature
Principal component analysis
topic Ciencias Astronómicas
Precipitable water vapor
Global navigation satellite systems
Köppen and Geiger climate type classification
Surface temperature
Principal component analysis
dc.description.none.fl_txt_mv Annual and seasonal diurnal precipitable water vapor (PWV) variations over Central and South America are analyzed for the period 2007e2013. PWV values were obtained from Global Navigation Satellite Systems (GNSS) observations of sixty-nine GNSS tracking stations. Histograms by climate categories show that PWV values for temperate, polar and cold dry climate have a positive skewed distribution and for tropical climates (except for monsoon subtype) show a negative skewed distribution. The diurnal PWV and surface temperatures (T) anomaly datasets are analyzed by using principal components analysis (PCA). The first two modes represent more than 90% of the PWV variability. The first PCA mode of PWV variability shows a maximum amplitude value in the late afternoon few hours later than the respective values for surface temperature (T), therefore the temperature and the surface conditions (to yield evaporation) could be the main agents producing this variability; PWV variability in inland stations are mainly represented by this mode. The second mode of PWV variability shows a maximum amplitude at midnight, a possible explanation of this behavior is the effect of the sea/valley breeze. The coastal and valley stations are affected by this mode in most cases. Finally, the “undefined” stations, surrounded by several water bodies, are mainly affected by the second mode with negative eigenvectors. In the seasonal analysis, both the undefined and valley stations constitute the main cases that show a sea or valley breeze only during some seasons, while the rest of the year they present a behavior according to their temperature and the surface conditions. As a result, the PCA proves to be a useful numerical tool to represent the main sub-daily PWV variabilities.
Laboratorio de Meteorología espacial, Atmósfera terrestre, Geodesia, Geodinámica, diseño de Instrumental y Astrometría
description Annual and seasonal diurnal precipitable water vapor (PWV) variations over Central and South America are analyzed for the period 2007e2013. PWV values were obtained from Global Navigation Satellite Systems (GNSS) observations of sixty-nine GNSS tracking stations. Histograms by climate categories show that PWV values for temperate, polar and cold dry climate have a positive skewed distribution and for tropical climates (except for monsoon subtype) show a negative skewed distribution. The diurnal PWV and surface temperatures (T) anomaly datasets are analyzed by using principal components analysis (PCA). The first two modes represent more than 90% of the PWV variability. The first PCA mode of PWV variability shows a maximum amplitude value in the late afternoon few hours later than the respective values for surface temperature (T), therefore the temperature and the surface conditions (to yield evaporation) could be the main agents producing this variability; PWV variability in inland stations are mainly represented by this mode. The second mode of PWV variability shows a maximum amplitude at midnight, a possible explanation of this behavior is the effect of the sea/valley breeze. The coastal and valley stations are affected by this mode in most cases. Finally, the “undefined” stations, surrounded by several water bodies, are mainly affected by the second mode with negative eigenvectors. In the seasonal analysis, both the undefined and valley stations constitute the main cases that show a sea or valley breeze only during some seasons, while the rest of the year they present a behavior according to their temperature and the surface conditions. As a result, the PCA proves to be a useful numerical tool to represent the main sub-daily PWV variabilities.
publishDate 2020
dc.date.none.fl_str_mv 2020-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/119499
url http://sedici.unlp.edu.ar/handle/10915/119499
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1674-9847
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.geog.2020.04.005
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.format.none.fl_str_mv application/pdf
426-441
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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